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Author: Robert J. Lempert Publisher: Rand Corporation ISBN: 0833093037 Category : History Languages : en Pages : 108
Book Description
Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the air-delivered munitions mix challenge. RDM is quantitative, decision support methodology designed to inform decisions under conditions of deep uncertainty and complexity. This proof-of-concept demonstration suggests that RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.
Author: Robert J. Lempert Publisher: Rand Corporation ISBN: 0833093037 Category : History Languages : en Pages : 108
Book Description
Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the air-delivered munitions mix challenge. RDM is quantitative, decision support methodology designed to inform decisions under conditions of deep uncertainty and complexity. This proof-of-concept demonstration suggests that RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.
Author: Paul K. Davis Publisher: Rand Corporation ISBN: 9780833076618 Category : Computers Languages : en Pages : 0
Book Description
"A first step in dealing with uncertainty is confronting its existence, ubiquity, and magnitude. A second step is dealing with it when informing assessments and decisions. As the Cold War waned, RAND developed new methods that urged sketching the no-surprises future, listing known branch-style uncertainties, and stretching the imagination to envision potential shocks, good or bad (e.g., Soviet Union disintegration or Saddam Hussein's invasion of Kuwait). Major surprises will nonetheless occur, and some of RAND's most important work on uncertainty has to do with coping with surprise developments. RAND's progress in national security uncertainty analysis benefited from a confluence of developments in computer and software technology, theory and practice in strategic planning and decisionmaking, analytic theory and methods, and theory of complex adaptive systems. Work has emphasized facing up to deep uncertainty in many dimensions, performing exploratory analysis of "the possibility space," identifying regions of that space that pose special risks or opportunities, finding options to improve capabilities, and using portfolio analysis to conceive and compare strategic options for economically dealing with the diversity of challenges. A cross-cutting RAND theme is finding flexible, adaptive, and robust (FAR) strategies. Ultimately, different problems call for different approaches to uncertainty. If the theory of planning under uncertainty and preparing to cope with surprise effectively is difficult and complex, this report makes clear that implementing and maintaining corresponding changes is even more difficult and suggests that policymakers to be constantly vigilant in ensuring that related initiatives are not undercut or allowed to wither."--Provided by publisher.
Author: Alain C. Enthoven Publisher: Rand Corporation ISBN: 0833048147 Category : Political Science Languages : en Pages : 395
Book Description
Originally published in 1971, and now published with a new foreword, this is a book of enduring value and lasting relevance. The authors detail the application, history, and controversies surrounding the Planning, Programming, and Budgeting System (PPBS), used to evaluate military needs and to choose among alternatives for meeting those needs.
Author: Talbot C. Imlay Publisher: Psychology Press ISBN: 9780415366960 Category : History Languages : en Pages : 282
Book Description
How do we plan under conditions of uncertainty? The perspective of military planners is a key organizing framework: do they see themselves as preparing to administer a peace, or preparing to fight a future war? Most interwar volumes examine only the 1920s and the 1930s. This new volume goes back, and forward in time, to draw on a greater expanse of history in order to tease out lessons for contemporary planners. These chapters are grouped into four periods: 1815-1856, 1871-1914, 1918-1938, and post-Second World War. They progress from low-tech to high-tech concerns, for example, the first period examines armies, while the second period examines navies, the third asseses navies combined with air forces, and finally for the Kaiser chapter explores nuclear issues and decision-making.
Author: Stuart E. Johnson Publisher: Rand Corporation ISBN: Category : History Languages : en Pages : 424
Book Description
Addresses the challenges of this changed world, the difficulties for defense planning these challenges engender, and new analytic techniques for framing these complex problems.
Author: Andrew R. Hoehn Publisher: Rand Corporation ISBN: 0833096923 Category : Business & Economics Languages : en Pages : 311
Book Description
This report is the last of a series in which RAND explores the elements of a national strategy for the conduct of U.S. foreign policy, in this new era of turbulence and uncertainty. Three alternative strategic concepts are presented.
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262331713 Category : Computers Languages : en Pages : 350
Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: Robert J. Lempert
Author: Robert J. Lempert
Author: Paul K. Davis
Author: Alain C. Enthoven
Author: Talbot C. Imlay
Author: Don M. Snider
Author: Stuart E. Johnson
Author: Decision Sciences Corporation
Author: Andrew R. Hoehn
Author: Walter R. Milliken
Author: Mykel J. Kochenderfer